COMPUTATIONAL RESEARCH in BOSTON and BEYOND (CRIBB)

Title: Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering ( Titensky )
Title: Using HPC to gain insights into Neural Network Training( Herrera )
Title: Sparse, Symmetric DNN Topologies for Sparse Training ( Robinett )
Title: Building a Brain ( Wang )
Title: Training Sparse Heural Networks ( Alford )
Title: Counting Neural Nets ( Mizes )
Title: Maps of Mathematics ( Gravel )

Date	September 7, 2018
Speakers	J. Titensky, J. Herrera, R. Robinett, R. Wang, S. Alford, P. Mizes, K. Gravel Massachusetts Institute of Technology
Topic	AI Summer at the MIT Beaver Works Center for Engaging Supercomputing
Paper Titles	Title: Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering (Titensky) Title: Using HPC to gain insights into Neural Network Training(Herrera) Title: Sparse, Symmetric DNN Topologies for Sparse Training (Robinett) Title: Building a Brain (Wang) Title: Training Sparse Heural Networks (Alford) Title: Counting Neural Nets (Mizes) Title: Maps of Mathematics (Gravel)

Acknowledgements

We thank the generous support of MIT IS&T, CSAIL, and the Department of Mathematics for their support of this series.